Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M
CVE-2021-37687Heap OOB in TensorFlow Lite's `Gather*` implementations
Medium 5.5
In plain English
A medium-severity out-of-bounds read in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.2% (higher than 9% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite's [`GatherNd` implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/gather_nd.cc#L124) does not support negative indices but there are no checks for this situation. Hence, an attacker can read arbitrary data from the heap by carefully crafting a model with negative values in `indices`. Similar issue exists in [`Gather` implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/gather.cc). We have patched the issue in GitHub commits bb6a0383ed553c286f87ca88c207f6774d5c4a8f and eb921122119a6b6e470ee98b89e65d721663179d. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.3.4, 2.4.3 | PYSEC-2021-309 |
| PyPI | tensorflow | 2.3.4 | GHSA-jwf9-w5xm-f437 |
| PyPI | tensorflow | 2.4.3 | GHSA-jwf9-w5xm-f437 |
| PyPI | tensorflow | 2.5.1 | GHSA-jwf9-w5xm-f437 |
| PyPI | tensorflow-cpu | 2.4.3 | GHSA-jwf9-w5xm-f437 |
| PyPI | tensorflow-cpu | 2.3.4, 2.4.3 | PYSEC-2021-600 |
| PyPI | tensorflow-cpu | 2.3.4 | GHSA-jwf9-w5xm-f437 |
| PyPI | tensorflow-cpu | 2.5.1 | GHSA-jwf9-w5xm-f437 |
| PyPI | tensorflow-gpu | 2.3.4, 2.4.3 | PYSEC-2021-798 |
| PyPI | tensorflow-gpu | 2.3.4 | GHSA-jwf9-w5xm-f437 |
| PyPI | tensorflow-gpu | 2.4.3 | GHSA-jwf9-w5xm-f437 |
| PyPI | tensorflow-gpu | 2.5.1 | GHSA-jwf9-w5xm-f437 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | >= 2.5.0, < 2.5.1>= 2.4.0, < 2.4.3< 2.3.4 |
Weakness: CWE-125 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jwf9-w5xm-f437 x_refsource_CONFIRM
- https://github.com/tensorflow/tensorflow/commit/bb6a0383ed553c286f87ca88c207f6774d5c4a8f x_refsource_MISC
- https://github.com/tensorflow/tensorflow/commit/eb921122119a6b6e470ee98b89e65d721663179d x_refsource_MISC